Improved artificial neural network method for predicting photovoltaic output performance

Artificial Neural Network Model for Predicting Insurance Insolvency

In addition to its primary role of providing financial protection for other industries the insurance industry also serves as a medium for fund mobilization. In spite of the harsh economic environment in Nigeria, the insurance industry has been crucial to the consummation of business plans and wealth creation.  However, the continued downturn experienced by many countries, in the last decade, se...

Artificial Neural Network Method for Predicting Protein Secondary Structure Content

In this paper, the neural network method was applied to predict the content of protein secondary structure elements that was based on 'pair-coupled amino acid composition', in which the sequence coupling effects are explicitly included through a series of conditional probability elements. The prediction was examined by a self-consistency test and an independent-dataset. Both indicated good resu...

Developing an Artificial Neural Networks Model for Predicting Output Energy and GHG Emission of Strawberry Production

artificial neural network model for predicting insurance insolvency

in addition to its primary role of providing financial protection for other industries the insurance industry also serves as a medium for fund mobilization. in spite of the harsh economic environment in nigeria, the insurance industry has been crucial to the consummation of business plans and wealth creation.  however, the continued downturn experienced by many countries, in the last decade, se...

Artificial neural network models for predicting the solar radiation as input of a concentrating photovoltaic system

The energy production analysis of a system based on renewable technology depends on the inputs estimation accuracy. The solar energy is a free resource characterized by high variability; hence, its correct evaluation is a strategic factor for the feasibility of a solar system. In this paper a new methodological approach is presented in order to evaluate more accurately the electric and thermal ...